Genetic Ancestry Markers and Difference in A1c between African American and White in the Diabetes Prevention Program

Journal of Clinical Endocrinology and Metabolism

Volumn 104, Issue 2, 2018, Pages 328-336

  Hivert, Marie France ^a,b,c   Christophi, Costas A ^d   Jablonski, Kathleen A ^d   Edelstein, Sharon L ^d   Kahn, Steven E ^e   Golden, Sherita Hill ^f   Dagogo Jack, Samuel ^g   Mather, Kieren J ^h   Luchsinger, José A ⁱ   Caballero, A Enrique ^a   Barrett Connor, Elizabeth ^j   Knowler, William C ^k   Florez, Jose C ^b,l   Herman, William H ^d,m  

^a HARVARD MEDICAL SCHOOL   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c UNIVERSITÉ DE SHERBROOKE   (Canada)

^d GEORGE WASHINGTON UNIVERSITY   (United States)

^e UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^f JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^g UNIVERSITY OF TENNESSEE HEALTH SCIENCE CENTER   (United States)

^h INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

ⁱ NewYork Presbyterian Hospital   (United States)

^j UNIVERSITY OF CALIFORNIA   (United States)

^k NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES   (United States)

^l BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^m UNIVERSITY OF MICHIGAN   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

HEMOGLOBIN A1C; GLYCOSYLATED HEMOGLOBIN; HEMOGLOBIN A1C PROTEIN, HUMAN;

ADULT; AFRICAN AMERICAN; ANCESTRY GROUP; ARTICLE; BLACK PERSON; CAUCASIAN; DIABETES MELLITUS; FEMALE; GENETIC MARKER; GENETIC RISK; GENETIC VARIABILITY; HEALTH PROGRAM; HUMAN; MALE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RACE DIFFERENCE; SICKLE CELL TRAIT; AGED; BLOOD; GENETIC VARIATION; GENETICS; GENOME-WIDE ASSOCIATION STUDY; MIDDLE AGED; NON INSULIN DEPENDENT DIABETES MELLITUS;

ADULT; AFRICAN AMERICANS; AGED; DIABETES MELLITUS, TYPE 2; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; GENETIC MARKERS; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; GLYCATED HEMOGLOBIN A; HUMANS; MALE; MIDDLE AGED; PRINCIPAL COMPONENT ANALYSIS; SICKLE CELL TRAIT;

EID: 85058898678     PISSN: 0021972X     EISSN: 19457197     Source Type: Journal    
DOI: 10.1210/jc.2018-01416     Document Type: Article

References (34)

1. Adams AS, Trinacty CM, Zhang F, Kleinman K, Grant RW, Meigs JB, Soumerai SB, Ross-Degnan D. Medication adherence and racial differences in A1C control. Diabetes Care. 2008; 31(5): 916-921.
2. Chapp-Jumbo E, Edeoga C, Wan J, Dagogo-Jack S. Ethnic disparity in hemoglobin A1c levels among normoglycemic offspring of parents with type 2 diabetes mellitus. Endocrine Pract. 2012; 18(3): 356-362.
3. Herman WH, Dungan KM, Wolffenbuttel BH, Buse JB, Fahrbach JL, Jiang H, Martin S. Racial and ethnic differences in mean plasma glucose, hemoglobin A1c, and 1, 5-anhydroglucitol in over 2000 patients with type 2 diabetes. J Clin Endocrinol Metab. 2009; 94(5): 1689-1694.
4. Herman WH, Ma Y, Uwaifo G, Haffner S, Kahn SE, Horton ES, Lachin JM, Montez MG, Brenneman T, Barrett-Connor E; Diabetes Prevention Program Research Group. Differences in A1C by race and ethnicity among patients with impaired glucose tolerance in the Diabetes Prevention Program. Diabetes Care. 2007; 30(10): 2453-2457.
5. Viberti G, Lachin J, Holman R, Zinman B, Haffner S, Kravitz B, Heise MA, Jones NP, O'Neill MC, Freed MI, Kahn SE, Herman WH; ADOPT Study Group. A Diabetes Outcome Progression Trial (ADOPT): baseline characteristics of type 2 diabetic patients in North America and Europe. Diabet Med. 2006; 23(12): 1289-1294.
6. Huh SY, Rifas-Shiman SL, Zera CA, Edwards JW, Oken E, Weiss ST, Gillman MW. Delivery by caesarean section and risk of obesity in preschool age children: a prospective cohort study. Arch Dis Child. 2012; 97(7): 610-616.
7. Wheeler E, Leong A, Liu CT, Marie-France Hivert, Rona J. Strawbridge, Clara Podmore, Man Li, Jie Yao, Xueling Sim, Jaeyoung Hong, Audrey Y. Chu, Weihua Zhang, Xu Wang, Peng Chen, Nisa M. Maruthur, Bianca C. Porneala, Stephen J. Sharp, Yucheng Jia, Edmond K. Kabagambe, Li-Ching Chang, Wei-Min Chen, Cathy E. Elks, Daniel S. Evans, Qiao Fan, Franco Giulianini, Min Jin Go, Jouke-Jan Hottenga, Yao Hu, Anne U. Jackson, Stavroula Kanoni, Young Jin Kim, Marcus E. Kleber, Claes Ladenvall, Cecile Lecoeur, Sing-Hui Lim, Yingchang Lu, Anubha Mahajan, Carola Marzi, Mike A. Nalls, Pau Navarro, Ilja M. Nolte, Lynda M. Rose, Denis V. Rybin, Serena Sanna, Yuan Shi, Daniel O. Stram, Fumihiko Takeuchi, Shu Pei Tan, Peter J. van der Most, Jana V. Van Vliet-Ostaptchouk, Andrew Wong, Loic Yengo, Wanting Zhao, Anuj Goel, Maria Teresa Martinez Larrad, Dörte Radke, Perttu Salo, Toshiko Tanaka, Erik P. A. van Iperen, Goncalo Abecasis, Saima Afaq, Behrooz Z. Alizadeh, Alain G. Bertoni, Amelie Bonnefond, Yvonne Böttcher, Erwin P. Bottinger, Harry Campbell, Olga D. Carlson, Chien-Hsiun Chen, Yoon Shin Cho, W. Timothy Garvey, Christian Gieger, Mark O. Goodarzi, Harald Grallert, Anders Hamsten, Catharina A. Hartman, Christian Herder, Chao Agnes Hsiung, Jie Huang, Michiya Igase, Masato Isono, Tomohiro Katsuya, Chiea-Chuen Khor, Wieland Kiess, Katsuhiko Kohara, Peter Kovacs, Juyoung Lee, Wen-Jane Lee, Benjamin Lehne, Huaixing Li, Jianjun Liu, Stephane Lobbens, Jian'an Luan, Valeriya Lyssenko, Thomas Meitinger, Tetsuro Miki, Iva Miljkovic, Sanghoon Moon, Antonella Mulas, Gabriele Müller, Martina Müller-Nurasyid, Ramaiah Nagaraja, Matthias Nauck, James S. Pankow, Ozren Polasek, Inga Prokopenko, Paula S. Ramos, Laura Rasmussen-Torvik, Wolfgang Rathmann, Stephen S. Rich, Neil R. Robertson, Michael Roden, Ronan Roussel, Igor Rudan, Robert A. Scott, William R. Scott, Bengt Sennblad, David S. Siscovick, Konstantin Strauch, Liang Sun, Morris Swertz, Salman M. Tajuddin, Kent D. Taylor, Yik-Ying Teo, Yih Chung Tham, Anke Tönjes, Nicholas J. Wareham, Gonneke Willemsen, Tom Wilsgaard, Aroon D. Hingorani, EPIC-CVD Consortium, EPIC-InterAct Consortium, Lifelines Cohort Study, Josephine Egan, Luigi Ferrucci, G. Kees Hovingh, Antti Jula, Mika Kivimaki, Meena Kumari, Inger Njølstad, Colin N. A. Palmer, Manuel Serrano Ríos, Michael Stumvoll, Hugh Watkins, Tin Aung, Matthias Blüher, Michael Boehnke, Dorret I. Boomsma, Stefan R. Bornstein, John C. Chambers, Daniel I. Chasman, Yii-Der Ida Chen, Yduan-Tsong Chen, Ching-Yu Cheng, Francesco Cucca, Eco J. C. de Geus, Panos Deloukas, Michele K. Evans, Myriam Fornage, Yechiel Friedlander, Philippe Froguel, Leif Groop, Myron D. Gross, Tamara B. Harris, Caroline Hayward, Chew-Kiat Heng, Erik Ingelsson, Norihiro Kato, Bong-Jo Kim, Woon-Puay Koh, Jaspal S. Kooner, Antje Körner, Diana Kuh, Johanna Kuusisto, Markku Laakso, Xu Lin, Yongmei Liu, Ruth J. F. Loos, Patrik K. E. Magnusson, Winfried März, Mark I. McCarthy, Albertine J. Oldehinkel, Ken K. Ong, Nancy L. Pedersen, Mark A. Pereira, Annette Peters, Paul M. Ridker, Charumathi Sabanayagam, Michele Sale, Danish Saleheen, Juha Saltevo, Peter EH. Schwarz, Wayne H. H. Sheu, Harold Snieder, Timothy D. Spector, Yasuharu Tabara, Jaakko Tuomilehto, Rob M. van Dam, James G. Wilson, James F. Wilson, Bruce H. R. Wolffenbuttel, Tien Yin Wong, Jer-Yuarn Wu, Jian-Min Yuan, Alan B. Zonderman, Nicole Soranzo, Xiuqing Guo, David J. Roberts, Jose C. Florez, Robert Sladek, Josée Dupuis, Andrew P. Morris, E-Shyong Tai, Elizabeth Selvin, Jerome I. Rotter, Claudia Langenberg, Inês Barroso, James B. Meigs. Impact of common genetic determinants of hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: a transethnic genome-wide meta-analysis. PLOS Med. 2017; 14(9): e1002383.
8. Soranzo N, Sanna S, Wheeler E, Gieger C, Radke D, Dupuis J, Bouatia-Naji N, Langenberg C, Prokopenko I, Stolerman E, Sandhu MS, Heeney MM, Devaney JM, Reilly MP, Ricketts SL, Stewart AF, Voight BF, Willenborg C, Wright B, Altshuler D, Arking D, Balkau B, Barnes D, Boerwinkle E, Böhm B, Bonnefond A, Bonnycastle LL, Boomsma DI, Bornstein SR, Böttcher Y, Bumpstead S, Burnett-Miller MS, Campbell H, Cao A, Chambers J, Clark R, Collins FS, Coresh J, de Geus EJ, Dei M, Deloukas P, Döring A, Egan JM, Elosua R, Ferrucci L, Forouhi N, Fox CS, Franklin C, Franzosi MG, Gallina S, Goel A, Graessler J, Grallert H, Greinacher A, Hadley D, Hall A, Hamsten A, Hayward C, Heath S, Herder C, Homuth G, Hottenga JJ, Hunter-Merrill R, Illig T, Jackson AU, Jula A, Kleber M, Knouff CW, Kong A, Kooner J, Köttgen A, Kovacs P, Krohn K, Kühnel B, Kuusisto J, Laakso M, Lathrop M, Lecoeur C, Li M, Li M, Loos RJ, Luan J, Lyssenko V, Mägi R, Magnusson PK, Mälarstig A, Mangino M, Martínez-Larrad MT, März W, McArdle WL, McPherson R, Meisinger C, Meitinger T, Melander O, Mohlke KL, Mooser VE, Morken MA, Narisu N, Nathan DM, Nauck M, O'Donnell C, Oexle K, Olla N, Pankow JS, Payne F, Peden JF, Pedersen NL, Peltonen L, Perola M, Polasek O, Porcu E, Rader DJ, Rathmann W, Ripatti S, Rocheleau G, Roden M, Rudan I, Salomaa V, Saxena R, Schlessinger D, Schunkert H, Schwarz P, Seedorf U, Selvin E, Serrano-Ríos M, Shrader P, Silveira A, Siscovick D, Song K, Spector TD, Stefansson K, Steinthorsdottir V, Strachan DP, Strawbridge R, Stumvoll M, Surakka I, Swift AJ, Tanaka T, Teumer A, Thorleifsson G, Thorsteinsdottir U, Tönjes A, Usala G, Vitart V, Völzke H, Wallaschofski H, Waterworth DM, Watkins H, Wichmann HE, Wild SH, Willemsen G, Williams GH, Wilson JF, Winkelmann J, Wright AF, Zabena C, Zhao JH, Epstein SE, Erdmann J, Hakonarson HH, Kathiresan S, Khaw KT, Roberts R, Samani NJ, Fleming MD, Sladek R, Abecasis G, Boehnke M, Froguel P, Groop L, McCarthy MI, Kao WH, Florez JC, Uda M, Wareham NJ, Barroso I, Meigs JB; WTCCC. Common variants at 10 genomic loci influence hemoglobin A1(C) levels via glycemic and nonglycemic pathways [published correction appears in Diabetes. 2011; 60(3): 1050-1051].
9. Diabetes. 2010; 59(12): 3229-3239.
10. Grimsby JL, Porneala BC, Vassy JL, Yang Q, Florez JC, Dupuis J, Liu T, Yesupriya A, Chang MH, Ned RM, Dowling NF, Khoury MJ, Meigs JB; MAGIC Investigators. Race-ethnic differences in the association of genetic loci with HbA1c levels and mortality in U. S. adults: the third National Health and Nutrition Examination Survey (NHANES III). BMC Med Genet. 2012; 13(1): 30.
11. Paterson AD, Waggott D, Boright AP, Hosseini SM, Shen E, Sylvestre MP, Wong I, Bharaj B, Cleary PA, Lachin JM, Below JE, Nicolae D, Cox NJ, Canty AJ, Sun L, Bull SB; MAGIC (Meta-Analyses of Glucose and Insulin-related traits Consortium); Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Research Group. A genome-wide association study identifies a novel major locus for glycemic control in type 1 diabetes, as measured by both A1C and glucose. Diabetes. 2010; 59(2): 539-549.
12. The Diabetes Prevention Program. Design and methods for a clinical trial in the prevention of type 2 diabetes [published correction appears in Diabetes Care. 199; 22(8): 1389].
13. Diabetes Care. 1999; 22(4): 623-634.
14. The Diabetes Prevention Program: baseline characteristics of the randomized cohort. Diabetes Care. 2000; 23(11): 1619-1629.
15. Bureau of the Census. Census of the Population, 1990. Washington, DC: US Government Printing Office; 1990.
16. Ellis G, Diamandis EP, Giesbrecht EE, Daneman D, Allen LC. An automated "high-pressure" liquid-chromatographic assay for hemoglobin A1c. Clin Chem. 1984; 30(11): 1746-1752.
17. Sánchez F, Bonàs S, Guindo M, Díaz C, Tejedor E, Badia R, Mercader JM, Torrents D. GWImp-COMPSs: an integrated framework for large-scale genome-wide imputation and association testing on parallel computing platforms. Available at: http: //cg. bsc. es/guidance/. Accessed 20 November 2018.
18. GTOOL. Available at: http: //www. well. ox. ac. uk/cfreeman/software/ gwas/gtool. html. Accessed 24 October 2018.
19. Common Variation in Candidate Genes in the Diabetes Prevention Program. dbGaP Study Accession: phs000681. v1. p1. 1 November 2014. https: //www. ncbi. nlm. nih. gov/projects/gap/cgi-bin/study. cgistudy-id5phs000681. v1. p1.
20. Kirk JK, D'Agostino RB Jr, Bell RA, Passmore LV, Bonds DE, Karter AJ, Narayan KM. Disparities in HbA1c levels between African-American and non-Hispanic white adults with diabetes: a meta-analysis. Diabetes Care. 2006; 29(9): 2130-2136.
21. Saaddine JB, Fagot-Campagna A, Rolka D, Narayan KM, Geiss L, Eberhardt M, Flegal KM. Distribution of HbA(1c) levels for children and young adults in the U. S.: Third National Health and Nutrition Examination Survey. Diabetes Care. 2002; 25(8): 1326-1330.
22. Maruthur NM, Kao WH, Clark JM, Brancati FL, Cheng CY, Pankow JS, Selvin E. Does genetic ancestry explain higher values of glycated hemoglobin in African Americans? Diabetes. 2011; 60(9): 2434-2438.
23. Meigs JB, Grant RW, Piccolo R, Ló pez L, Florez JC, Porneala B, Marceau L, McKinlay JB. Association of African genetic ancestry with fasting glucose and HbA1c levels in non-diabetic individuals: the Boston Area Community Health (BACH) Prediabetes Study. Diabetologia. 2014; 57(9): 1850-1858.
24. Chakraborty R, Ferrell RE, Stern MP, Haffner SM, Hazuda HP, RosenthalM. Relationship of prevalence of non-insulin-dependent diabetes mellitus to Amerindian admixture in the Mexican Americans of San Antonio, Texas. Genet Epidemiol. 1986; 3(6): 435-454.
25. Knowler WC, Williams RC, Pettitt DJ, Steinberg AG. Gm3; 5, 13, 14 and type 2 diabetes mellitus: an association in American Indians with genetic admixture. Am J Hum Genet. 1988; 43(4): 520-526.
26. Lacy ME, Wellenius GA, Sumner AE, Correa A, Carnethon MR, Liem RI, Wilson JG, Sacks DB, Jacobs DR Jr, Carson AP, Luo X, Gjelsvik A, Reiner AP, Naik RP, Liu S, Musani SK, Eaton CB, Wu WC. Association of sickle cell trait with hemoglobin A1c in African Americans. JAMA. 2017; 317(5): 507-515.
27. Sumner AE, Thoreson CK, O'Connor MY, Ricks M, Chung ST, Tulloch-Reid MK, Lozier JN, Sacks DB. Detection of abnormal glucose tolerance in Africans is improved by combining A1C with fasting glucose: the Africans in America Study. Diabetes Care. 2015; 38(2): 213-219.
28. Bleyer AJ, Vidya S, Sujata L, Russell GB, Akinnifesi D, Hire D, Shihabi Z, Knovich MA, Daeihagh P, Calles J, Freedman BI. The impact of sickle cell trait on glycated haemoglobin in diabetes mellitus. Diabet Med. 2010; 27(9): 1012-1016.
29. Barbedo MM, McCurdy PR. Red cell life span in sickle cell trait. Acta Haematol. 1974; 51(6): 339-343.
30. McCurdy PR. 32-DFP and 51-Cr for measurement of red cell life span in abnormal hemoglobin syndromes. Blood. 1969; 33(2): 214-224.
31. Suarez RM, Buso R, Meyer LM, Olavarrieta ST. Distribution of abnormal hemoglobins in Puerto Rico and survival studies of red blood cells using Cr51. Blood. 1959; 14(3): 255-261.
32. Weinstein IM, Spurling CL, Klein H, Necheles TF. Radioactive sodium chromate for the study of survival of red blood cells. III. The abnormal hemoglobin syndromes. Blood. 1954; 9(12): 1155-1164.
33. Bry L, Chen PC, Sacks DB. Effects of hemoglobin variants and chemically modified derivatives on assays for glycohemoglobin. Clin Chem. 2001; 47(2): 153-163.
34. Frank EL, Moulton L, Little RR, Wiedmeyer HM, Rohlfing C, Roberts WL. Effects of hemoglobin C and S traits on seven glycohemoglobin methods. Clin Chem. 2000; 46(6 Pt 1): 864-867.